AI Lead Engineer (m/f/d)

Job Description

Role Overview - AI Lead Engineer (GenAI & Agentic AI)

Location - Pune / Hyderabad

Experience: 10-15+ Years (including 3-5+ years in AI/ML, Generative AI, or Agentic AI Solutions)

Role Overview

We are looking for an experienced AI Lead Engineer to drive the design, architecture, and delivery of enterprise-grade AI solutions leveraging Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks. The ideal candidate will have a strong software engineering background combined with expertise in AI solution design, AI agent orchestration, cloud platforms, and modern MLOps practices.

Your Task

We are looking for an experienced AI Lead Engineer to drive the design, architecture, and delivery of enterprise-grade AI solutions leveraging Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks. The ideal candidate will have a strong software engineering background combined with expertise in AI solution design, AI agent orchestration, cloud platforms, and modern MLOps practices. This role requires 10-15+ years of experience, including 3-5+ years in AI/ML, Generative AI, or Agentic AI Solutions. This position is based in Pune or Hyderabad.

Key Responsibilities

• Lead the design, architecture, and implementation of AI/GenAI solutions.

• Build and deploy scalable LLM-powered applications and RAG systems.

• Design and implement Agentic AI and Multi-Agent systems for business automation and intelligence.

• Define enterprise AI architecture, governance, security, and best practices.

• Collaborate with business stakeholders, product teams, and engineering teams to deliver AI solutions.

• Mentor development teams and drive AI innovation initiatives.

• Evaluate emerging AI technologies and recommend adoption strategies.

Your Profile

We are looking for an experienced AI Lead Engineer with 10-15+ years of experience, including 3-5+ years in AI/ML, Generative AI, or Agentic AI Solutions, with strong software engineering background combined with expertise in AI solution design, AI agent orchestration, cloud platforms, and modern MLOps practices.

Must Have Skills

• 10-15+ years of overall experience

• 3-5+ years of experience in AI/ML, Generative AI, or Agentic AI Solutions

• Strong software engineering background

• Strong expertise in AI Solution Architecture and Design

• Strong programming skills in Python

• Strong programming skills in Temporal

• Expertise in Generative AI

• Expertise in Large Language Models (LLMs)

• Expertise in Retrieval-Augmented Generation (RAG)

• Expertise in Vector Databases

• Expertise in AI Agents

• Expertise in Multi-Agent Systems

• Hands-on experience with LangChain, LlamaIndex, Semantic Kernel, LangGraph, CrewAI, AutoGen, or similar frameworks

• Strong understanding of Prompt Engineering

• Strong understanding of Fine-Tuning

• Strong understanding of Embeddings

• Strong understanding of RAG Optimization

• Experience with Azure OpenAI, OpenAI GPT Models, Claude, Gemini, Llama, Mistral, or equivalent foundation models

• Knowledge of Model Context Protocol (MCP)

• Knowledge of Tool Calling

• Knowledge of Function Calling

• Knowledge of Agent Orchestration

• Experience with Pinecone, Qdrant, Weaviate, ChromaDB, FAISS, Azure AI Search, or similar vector databases

• Experience with Azure AI Services, Azure OpenAI, AWS AI/ML Services, or Google Vertex AI

• Strong understanding of MLOps/LLMOps practices using MLflow, Kubeflow, Databricks, Azure ML, etc.

• Experience with APIs

• Experience with microservices

• Experience with Docker

• Experience with Kubernetes

• Experience with cloud-native architectures

• Knowledge of SQL databases

• Knowledge of NoSQL databases

• Knowledge of data engineering concepts

• Experience with AI monitoring

• Experience with observability

• Experience with evaluation frameworks

• Experience with governance practices

• Expertise in AI solution design

• Expertise in AI agent orchestration

• Expertise in cloud platforms

• Expertise in modern MLOps practices

Nice to Have Skills

• Experience with TensorFlow

• Experience with PyTorch

• Experience with Scikit-learn

• Experience in GraphRAG

• Experience in Knowledge Graphs

• Experience in Enterprise Search solutions

• Exposure to AI governance

• Exposure to compliance

• Exposure to Responsible AI practices

• Experience leading AI transformation initiatives

• Experience with customer-facing engagements

Qualifications

Additional Information

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